Least mean mixed-norm adaptive filtering for impulsive DS-CDMA channels

This paper investigates the performance of using the least mean mixed-norm adaptive algorithm (LMMN) in the adaptation of a nonlinear receiver, coupled with a second-order phase tracking subsystem, for asynchronous DS-CDMA communication system impaired by double-spread multipath channel and Gaussian...

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Bibliographic Details
Main Authors: Jimaa, S.A., Jadah, M.E., Sharif, B.S.
Format: Conference Proceeding
Language:English
Subjects:
Adaptive algorithm
Adaptive filters
Bit error rate
Couplings
Feedforward systems
Gaussian noise
Multiaccess communication
Multipath channels
Phase locked loops
Phase noise
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Summary:This paper investigates the performance of using the least mean mixed-norm adaptive algorithm (LMMN) in the adaptation of a nonlinear receiver, coupled with a second-order phase tracking subsystem, for asynchronous DS-CDMA communication system impaired by double-spread multipath channel and Gaussian mixture impulsive noise. The nonlinear receiver comprises feed-forward filter (FFF), feedback filter (FBF) and an equalizer/second order phase locked loop (PLL). The investigations study the effect of using various mixing parameter (/spl lambda/) and step-size (/spl mu/) on the performance of the proposed algorithm in terms of the mean-square error (MSE) and the bit-error-rate (BER). Computer simulation results indicate that the proposed receiver algorithm with /spl lambda/ equals to 0.9 gives the best performance. Furthermore results show that the best value of the algorithm's step-size is 0.0001. Finally it is demonstrated that nonlinear receivers adapted by the proposed algorithm will have faster convergence rate and better BER performance, in comparison with the NLMS adaptive receiver.
DOI:10.1109/ISSPIT.2004.1433676